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Silicon Labs Brings AI and Machine Learning to the Edge with Matter-Ready Platform - Vimarsana News

Silicon Labs Brings AI and Machine Learning to the Edge with Matter-Ready Platform

/PRNewswire/ -- Silicon Labs, a leader in secure, intelligent wireless technology for a more connected world, today announced the BG24 and MG24 families of 2.4...

Silicon Labs Brings AI and Machine Learning to the Edge with Matter-Ready Platform - Vimarsana News

Silicon Labs Brings AI and Machine Learning to the Edge with Matter-Ready Platform

/PRNewswire/ -- Silicon Labs, a leader in secure, intelligent wireless technology for a more connected world, today announced the BG24 and MG24 families of 2.4...

Silicon Labs looks to brings AI/ML to the Edge with Matter-ready platform - Vimarsana News

Silicon Labs looks to brings AI/ML to the Edge with Matter-ready platform

Silicon Labs has introduced the BG24 and MG24 families of 2.4 GHz wireless SoCs for Bluetooth and Multiple-protocol operations, respectively, along with a new software toolkit.

A Deep Dive on Thunderboard Sense 2 - Vimarsana News

A Deep Dive on Thunderboard Sense 2

A Deep Dive on Thunderboard Sense 2 4 days ago Sensors for a Song Huge growth in the smartphone market has had the side effect of dramatically lowering the cost and shrinking the size of the sensors used those in those phones. Several chip vendors have come out with small development boards containing a variety of these tiny, low-cost sensors. In this article, Brian takes a close look at one such solution: the Thunderboard Sense 2 from Silicon Labs. Topics Discussed How have smartphones benefited the sensor market? What does the Thunderboard Sense 2 board include? How does the Mbed IDE compar...

Silicon Labs and Edge Impulse look to accelerate ML applications - Vimarsana News

Silicon Labs and Edge Impulse look to accelerate ML applications

Silicon Labs and Edge Impulse look to accelerate ML applications Silicon Labs and Edge Impulse, a development platform for machine learning on edge devices, are collaborating on the rapid development and deployment of machine learning (ML) on Silicon Labs EFR32 wireless SoCs and EFM32 microcontrollers (MCUs). Implementation of the Edge Impulse tool will enable complex motion detection, sound recognition and image classification on low-power, memory-constrained, and remote edge devices. Studies have shown that 87% of data science projects never reach full production, of...